PV248 Python

Faculty of Informatics
Autumn 2020
Extent and Intensity
1/1. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Petr Ročkai, Ph.D. (lecturer)
RNDr. Petr Ročkai, Ph.D. (seminar tutor)
RNDr. Vladimír Štill, Ph.D. (seminar tutor)
Mgr. Zuzana Baranová (assistant)
Mgr. Lukáš Korenčik (assistant)
Guaranteed by
RNDr. Petr Ročkai, Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics
Supplier department: Department of Computer Systems and Communications – Faculty of Informatics
Timetable
each odd Tuesday 18:00–19:50 A217
  • Timetable of Seminar Groups:
PV248/online: No timetable has been entered into IS. P. Ročkai, V. Štill
PV248/01: Thu 12:00–12:50 A219, P. Ročkai
PV248/02: Thu 13:00–13:50 A219, P. Ročkai
PV248/03: Thu 16:00–16:50 A219, P. Ročkai, V. Štill
PV248/04: Thu 17:00–17:50 A219, P. Ročkai, V. Štill
Prerequisites
Basic programming skills in Python (at least to the extent covered in IB111). Upper intermediate programming skills in any language.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 180 student(s).
Current registration and enrolment status: enrolled: 4/180, only registered: 0/180, only registered with preference (fields directly associated with the programme): 0/180
fields of study / plans the course is directly associated with
Course objectives
The goal of this subject is to show students the constructs and features of the programming language Python and to practice programming on practical exercises. During the semester, students will work on programming assignments, which will focus on the material covered in the lectures.
By the end of the course, students will:
* be able to solve complex programming problems in Python
* be acquainted with the standard library
* understand and have the ability to use advanced constructs of Python
Learning outcomes
Student will be able to:
- write complex programs in the Python programming language
- understand Python code written by others
- find and use the information needed for Python development
- test their programs written in Python
Syllabus
  • 1. Object Model
  • 2. Memory Management & Builtin Types
  • 3. Text, JSON and XML
  • 4. Databases, SQL
  • 5. Operators, Iterators and Exceptions
  • 6. Closures, Coroutines, Concurrency
  • 7. Communication & HTTP with ‹asyncio›
  • 8. Low-level ‹asyncio›
  • 9. Python Pitfalls
  • 10. Testing, Profiling
  • 11. Linear Algebra & Symbolic Math
  • 12. Statistics
  • 13. Quantum Computing
Literature
    recommended literature
  • LUTZ, Mark. Programming Python. 4th ed. Sebastopol, California: O'Reilly, 2010, 1632 pp. info
Teaching methods
exercises, homework, projects
Assessment methods
activity in exercises, homework evaluation, and project
Language of instruction
English
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2021, Autumn 2022.
  • Enrolment Statistics (Autumn 2020, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2020/PV248